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Optimality Conditions for Semi-Infinite and Generalized Semi-Infinite Programs Via Lower Order Exact Penalty Functions

机译:基于低阶精确罚函数的半无限和广义半无限程序的最优性条件

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In this paper, we will study optimality conditions of semi-infinite programs and generalized semi-infinite programs by employing lower order exact penalty functions and the condition that the generalized second-order directional derivative of the constraint function at the candidate point along any feasible direction for the linearized constraint set is non-positive. We consider three types of penalty functions for semi-infinite program and investigate the relationship among the exactness of these penalty functions. We employ lower order integral exact penalty functions and the second-order generalized derivative of the constraint function to establish optimality conditions for semi-infinite programs. We adopt the exact penalty function technique in terms of a classical augmented Lagrangian function for the lower-level problems of generalized semi-infinite programs to transform them into standard semi-infinite programs and then apply our results for semi-infinite programs to derive the optimality condition for generalized semi-infinite programs. We will give various examples to illustrate our results and assumptions.
机译:在本文中,我们将通过使用低阶精确惩罚函数以及约束函数在任意可行方向上的候选点的广义二阶方向导数的条件,研究半无限程序和广义半无限程序的最优性条件因为线性化约束集是非正的。我们考虑了半无限程序的三种惩罚函数,并研究了这些惩罚函数的正确性之间的关系。我们采用低阶积分精确罚函数和约束函数的二阶广义导数来建立半无限程序的最优性条件。对于经典的半无限程序的下层问题,我们采用经典的惩罚函数技术,将其转化为标准的半无限程序,然后将其应用到半无限程序中,以求出最优性。广义半无限程序的条件我们将给出各种示例来说明我们的结果和假设。

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